1 /* 2 * Copyright (c) 2017-2021 Arm Limited. 3 * 4 * SPDX-License-Identifier: MIT 5 * 6 * Permission is hereby granted, free of charge, to any person obtaining a copy 7 * of this software and associated documentation files (the "Software"), to 8 * deal in the Software without restriction, including without limitation the 9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or 10 * sell copies of the Software, and to permit persons to whom the Software is 11 * furnished to do so, subject to the following conditions: 12 * 13 * The above copyright notice and this permission notice shall be included in all 14 * copies or substantial portions of the Software. 15 * 16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 22 * SOFTWARE. 23 */ 24 #ifndef ARM_COMPUTE_TEST_L2NORMALIZE_FIXTURE 25 #define ARM_COMPUTE_TEST_L2NORMALIZE_FIXTURE 26 27 #include "arm_compute/core/TensorShape.h" 28 #include "arm_compute/core/Types.h" 29 #include "arm_compute/runtime/Tensor.h" 30 #include "tests/AssetsLibrary.h" 31 #include "tests/Globals.h" 32 #include "tests/IAccessor.h" 33 #include "tests/framework/Asserts.h" 34 #include "tests/framework/Fixture.h" 35 #include "tests/validation/reference/L2NormalizeLayer.h" 36 37 namespace arm_compute 38 { 39 namespace test 40 { 41 namespace validation 42 { 43 namespace 44 { 45 constexpr int max_input_tensor_dim = 3; 46 } // namespace 47 template <typename TensorType, typename AccessorType, typename FunctionType, typename T> 48 class L2NormalizeLayerValidationFixture : public framework::Fixture 49 { 50 public: 51 template <typename...> setup(TensorShape shape,DataType data_type,DataLayout data_layout,int axis,float epsilon)52 void setup(TensorShape shape, DataType data_type, DataLayout data_layout, int axis, float epsilon) 53 { 54 _target = compute_target(shape, data_type, data_layout, axis, epsilon); 55 _reference = compute_reference(shape, data_type, data_layout, axis, epsilon); 56 } 57 58 protected: 59 template <typename U> fill(U && tensor)60 void fill(U &&tensor) 61 { 62 static_assert(std::is_floating_point<T>::value || std::is_same<T, half>::value, "Only floating point data types supported."); 63 using DistributionType = typename std::conditional<std::is_same<T, half>::value, arm_compute::utils::uniform_real_distribution_16bit<T>, std::uniform_real_distribution<T>>::type; 64 65 DistributionType distribution{ T(1.0f), T(2.0f) }; 66 library->fill(tensor, distribution, 0); 67 } 68 compute_target(TensorShape shape,DataType data_type,DataLayout data_layout,int axis,float epsilon)69 TensorType compute_target(TensorShape shape, DataType data_type, DataLayout data_layout, int axis, float epsilon) 70 { 71 if(data_layout == DataLayout::NHWC) 72 { 73 permute(shape, PermutationVector(2U, 0U, 1U)); 74 } 75 76 // Create tensors 77 TensorType src = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); 78 TensorType dst = create_tensor<TensorType>(shape, data_type, 1, QuantizationInfo(), data_layout); 79 80 // Create and configure function 81 FunctionType l2_norm_func; 82 l2_norm_func.configure(&src, &dst, axis, epsilon); 83 84 ARM_COMPUTE_ASSERT(src.info()->is_resizable()); 85 ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); 86 87 // Allocate tensors 88 src.allocator()->allocate(); 89 dst.allocator()->allocate(); 90 91 ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); 92 ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); 93 94 // Fill tensors 95 fill(AccessorType(src)); 96 97 // Compute function 98 l2_norm_func.run(); 99 100 return dst; 101 } 102 compute_reference(const TensorShape & shape,DataType data_type,DataLayout data_layout,int axis,float epsilon)103 SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, DataLayout data_layout, int axis, float epsilon) 104 { 105 uint32_t actual_axis = wrap_around(axis, max_input_tensor_dim); 106 if(data_layout == DataLayout::NHWC) 107 { 108 switch(actual_axis) 109 { 110 case 0: 111 actual_axis = 2; 112 break; 113 case 1: 114 actual_axis = 0; 115 break; 116 case 2: 117 actual_axis = 1; 118 break; 119 default: 120 break; 121 } 122 } 123 // Create reference 124 SimpleTensor<T> src{ shape, data_type }; 125 126 // Fill reference 127 fill(src); 128 129 return reference::l2_normalize<T>(src, actual_axis, epsilon); 130 } 131 132 TensorType _target{}; 133 SimpleTensor<T> _reference{}; 134 }; 135 } // namespace validation 136 } // namespace test 137 } // namespace arm_compute 138 #endif /* ARM_COMPUTE_TEST_L2NORMALIZE_FIXTURE */ 139